CVE-2026-63317
Published:July 24, 2026
Updated:August 06, 2026
Arbitrary Class Instantiation via XML Feature Generator Descriptor and Format Name in Apache OpenNLP
Versions Affected:
- before 2.5.10
- before 3.0.0-M5
Description:
Three code paths in Apache OpenNLP load a class by its fully-qualified name via Class.forName() and invoke its no-arg constructor without any prior validation of the class name or its type.
The affected paths are:
(1) GeneratorFactory, which reads the class attribute of generator elements in an XML feature generator descriptor; such descriptors are embedded as artifacts in model archives (e.g. TokenNameFinder and POSTagger models) and are parsed during model loading, so an attacker who can supply a crafted model archive controls the class name directly.
(2) StreamFactoryRegistry.getFactory(Class, String), which falls back to interpreting an unregistered format name as the fully-qualified class name of an ObjectStreamFactory; this is exploitable in applications that pass untrusted format names (e.g. exposing the -format parameter of the command-line tooling to external input).
(3) StringInterners, which instantiates the interner implementation named by the opennlp.interner.class system property; this value is normally deployer-controlled, so it is hardened as defense in depth rather than being independently attacker-reachable.
Exploitation requires a class with attacker-useful side effects in its static initializer or no-arg constructor (JNDI lookup, outbound network I/O, filesystem access) to be present on the classpath, so this is not drop-in remote code execution. T
Mitigation:
Upgrade to a fixed release.
The fix routes all three paths through ExtensionLoader.instantiateExtension(...), which consults a package-prefix allowlist before Class.forName() is invoked, so a disallowed class is never loaded, initialized, or constructed.
Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing feature generator factories, object stream factories, or string interners outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes.
Users who cannot upgrade immediately should ensure all model files and format names are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors.
Affected Packages
https://github.com/apache/opennlp.git (GITHUB):
Affected version(s) >=opennlp-1.5.1-incubating-rc1 <opennlp-2.5.11Fix Suggestion:
Update to version opennlp-2.5.11https://github.com/apache/opennlp.git (GITHUB):
Affected version(s) >=opennlp-3.0.0-M1 <opennlp-3.0.0-M5Fix Suggestion:
Update to version opennlp-3.0.0-M5org.apache.opennlp:opennlp-tools (JAVA):
Affected version(s) >=1.5.1-incubating <2.5.11Fix Suggestion:
Update to version 2.5.11org.apache.opennlp:opennlp-tools (JAVA):
Affected version(s) >=3.0.0-M1 <3.0.0-M5Fix Suggestion:
Update to version 3.0.0-M5Related Resources (2)
Do you need more information?
Contact UsCVSS v4
Base Score:
6.3
Attack Vector
NETWORK
Attack Complexity
HIGH
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
LOW
Vulnerable System Integrity
LOW
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
5.6
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
LOW
Integrity
LOW
Availability
LOW
Weakness Type (CWE)
Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')
EPSS
Base Score:
0.27